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Intersectionality - Science topic

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Dear Colleagues,
I am excited to share an opportunity to contribute to an upcoming book titled "Philosophically (Re)Imagining Educational Leadership in the Age of Connectivity and 4IR: Shaping the Future of Education in a Hyperconnected World," to be published by Springer-Palgrave Macmillan. This book, edited by Prof. Doniwen Pietersen, Dr. Dean Langeveldt, and Dr. Elson Davison Khambule, aims to explore the intersection of educational leadership and advanced technologies within the context of the Fourth Industrial Revolution (4IR).
We are seeking international reviewers to provide valuable feedback on the chapters submitted for this book. If you are interested in serving as a reviewer, please indicate your interest and provide your details, including your name, affiliation, and areas of expertise.
Your contributions will be instrumental in ensuring the quality and impact of this significant academic endeavor.
Please submit your interest and details to Dr. Dean Collin Langeveldt at dean.langeveldt@spu.ac.za and cc epietecd1@unisa.ac.za.
We look forward to your valuable contributions.
Best regards,
Dean
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It is ok. You can count on me as an internal reviewer. My information is available in ResearchGate and Orcid.
I will be looking forward to hearing from you.
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I am pleased to inform you that my book proposal, "Climate Change and Disadvantaged Communities: Challenges and Opportunities," has been accepted by CRC Press, Taylor & Francis Group, LLC, and it is my pleasure to invite you to contribute a chapter to the upcoming edited book.  This book aims to explore the multifaceted impacts of climate change on vulnerable populations, emphasizing both the challenges these communities face and the innovative opportunities to build resilience and equity in the face of a changing climate. The book will bring together diverse perspectives from scholars, practitioners, and policymakers to examine critical themes such as socio-economic disparities, environmental justice, adaptation strategies, and the intersection of traditional knowledge with modern approaches. Your expertise would make a valuable contribution to this volume, enriching the discourse with insights and solutions drawn from your research and experience. I believe this publication will serve as a vital resource for advancing knowledge and inspiring action in addressing climate-related inequalities. If you are interested, please confirm with me. I would be delighted to provide further details about the submission guidelines. Thank you for considering this invitation, and I look forward to the possibility of your participation. For any query, please contact: skajimali.saa@gmail.com.
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Hi Sk,
I'd be happy to provide information related to drowning and potentially injury prevention a bit more broadly. I will send you an email.
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What if we could live forever? Digital Legacy ?
Imagine a future where advanced brain sequencing, longitudinal studies with fMRI, EEG, and eye-tracking capture the unique essence of a person—their thoughts, emotions, and decision-making patterns. This data, synchronized with advanced AI algorithms, could be used to program humanized robots, creating digital successors that carry forward the consciousness of the deceased.
Over time, this AI could develop artificial emotional intelligence, evolving into something akin to a digital conscience. Such a breakthrough wouldn’t just mimic human behavior—it could redefine what it means to exist.
Could this be the path to immortality? The intersection of humanity and technology has never been more fascinating—or promising.
What are your thoughts on this? Let’s start the conversation!
#FutureTech #ArtificialIntelligence #Immortality #AIInnovation
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I'm incredibly excited to see where we go with the help of artificial intelligence, and its more intriguing for me to imagine that the intelligence itself will evolve beyond something we didn't anticipate.
I went back and forth wether I would feel comfortable fusing my consciousness with technology one day. But as I read your question, my main concern was "privacy". How could we protect ourselves from being exploited, or who would we trust to invest all that we are as individuals, our thoughts, our emotions, our decision making--all you mentioned-- would we all be somewhat connect to one another through the technology? What footprint are we leaving, and can we guarantee that there aren't harmful people out there who know just how to manipulate those who completely digitalize their lives?
With all that being said, I believe that artificial general intelligence paints an extraordinary reality, that humans, the creators, could step back and observe the curious, astonishing, all-knowing subjects with the capacity of comprehending a much deeper and complex answer to science, communication, and even reality itself.
As philosophers have been pondering on consciousness since humans explored self-awareness, digital consciousness would be an even more complex, and dare I say incomprehensible to humans.
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I'd love to familiarise myself wth the work of researchers who are looking at how it might be possible to bring out innate knowledge in large groups (companies, public administration, NGOs) through incentive mechanisms that are rooted in play and the gift economy.
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thx Ralph. you can treat my book as a shortcut to Elder-Vass, Profit and gift in the digital economy and also Reckwitz, Invention of creativity. They'll get you to the topic of your question. - Your real-world case sounds utterly familiar. Watching its isomorphic twin as a member of a vegetable cooperative... The idea that creative play can beat bureaucracy and collective action pr remains an open debate, doesn't it?
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I am exploring the intersection of pragmatics and artificial intelligence, focusing on how AI can handle the complexity of speech acts, such as requests, promises, or commands, in multilingual contexts. The challenge lies in AI systems accurately interpreting the intended meaning behind speech acts, which often involves context, cultural norms, and implicit understanding—factors not easily reducible to simple linguistic rules. Additionally, generating appropriate speech acts in a target language requires a nuanced understanding of the pragmatic rules of that language. I am interested in approaches, models, or algorithms that enhance AI's ability to manage these aspects of communication, particularly in translation systems and virtual assistants. How can AI improve in recognizing and generating pragmatically accurate responses across different languages and cultural contexts? Any case studies, research, or practical examples would be greatly appreciated.
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الأمر متوقف على قاعدة البيانات النصية الواردة ، والتي يجب أن تكون بيانات لغوية ضخمة، كما أن تقنية التعلم العميق جعلت إمكانية فهم اللغة في سياقاتها المختلفة ممكنة إلى حد بعيد، يماثل استعمال البشر للغاتهم في مجتمعاتهم. يكفي أن نحرج برمجيات اللغة. بالسياقات الخاصة ليتعلم البرنامج خوارزميات جديدة تمكنه من تقدم باهر في فهم وتأويل الأقوال اللغوية... أظن حتى برنامج الذكاء الاصطناعي يعرف مشكلته في إدراك أبعاد الكلام البشري، ويرى أن التعلم الآلي العميق سيحسن من أدائه لاحقا.
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I am exploring leadership that navigates VUCA turbulence at the intersection of leadership development and organizational performance.
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Much appreciated
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what other legal researchers say
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The intersection of media law and the criminal justice system has a profound impact on how criminals are pursued, apprehended, and prosecuted. Media plays a significant role in shaping public opinion, disseminating information, and often influencing legal processes, while media law governs how information is reported. Here's how the interplay between these two fields impacts the pursuit of criminals:
1. Pretrial Publicity and Fair Trials
  • Media Coverage: The media can extensively cover criminal investigations and trials, which may affect the judicial process. High-profile cases can lead to pretrial publicity that influences potential jurors, witnesses, or even the accused, sometimes compromising the fairness of a trial.
  • Media Law Restrictions: Laws like gag orders and restrictions on pretrial reporting are used to control media coverage and protect a defendant's right to a fair trial. Judges often impose these restrictions to prevent media-induced bias.
2. Right to Privacy vs. Public Interest
  • Public’s Right to Know: Media outlets often claim that the public has a right to be informed about criminal activities and legal proceedings, including details about suspects and their background.
  • Privacy Laws: Balancing this with the privacy rights of suspects, victims, and their families is a constant struggle. Media law restricts certain types of reporting, especially regarding minors, victims of sexual crimes, and the identity of individuals before they are charged.
3. Influence on Investigations
  • Media as a Tool: Law enforcement sometimes uses the media to assist in the pursuit of criminals by releasing suspect images, warnings, or requests for public assistance. The Amber Alert system for missing children is a prime example.
  • Hindrance: Conversely, media coverage can sometimes hinder investigations by revealing sensitive information that helps suspects avoid capture or tamper with evidence.
4. Trial by Media
  • Impact on Due Process: High-profile criminal cases are often tried in the "court of public opinion," with media coverage forming narratives around guilt or innocence long before a trial concludes. This can affect juries and legal outcomes, leading to claims of "trial by media."
  • Legal Consequences: Overly sensationalized or biased reporting can result in defamation lawsuits or accusations of media misconduct. This is where media law steps in to mediate between freedom of the press and the legal rights of individuals involved.
5. Social Media and Digital Platforms
  • Instant Reporting: Social media has transformed the landscape of crime reporting, with instant updates, public participation, and even live streaming of events related to criminal acts or arrests.
  • Challenges to Law Enforcement: False information or viral speculation on social platforms can mislead investigations or lead to wrongful accusations. Media law is evolving to address defamation, misinformation, and privacy violations in the digital age.
6. Media Scrutiny and Accountability
  • Exposing Misconduct: Media plays an important role in exposing police misconduct, wrongful convictions, or systemic issues in the criminal justice system, such as racial profiling. Investigative journalism can lead to reforms and public awareness about abuses.
  • Checks and Balances: Media law ensures that journalists can report on these issues without facing undue repression, while also ensuring that they adhere to ethical and legal standards in their reporting.
7. Freedom of Press vs. Court Orders
  • Access to Information: Journalists often seek access to court documents, evidence, and trial proceedings under freedom of the press. However, courts may limit access to maintain confidentiality or national security.
  • Conflicts: Disputes arise when the media contests these restrictions, sometimes leading to litigation that shapes how the criminal justice system and the media interact.
Conclusion
The intersection of media law and the criminal justice system creates both opportunities and challenges. While media can aid in the pursuit of criminals by spreading information and raising public awareness, it can also disrupt legal processes or infringe upon rights if not properly regulated. The balance between freedom of press, fair trial rights, and public safety remains crucial in maintaining justice while leveraging the power of media in crime prevention and resolution
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A subset of a topological space is called delta-open if it is the intersection of
countably many open sets.
D. B. Gauld and others defined a topology on the set X=[0, +infinity[ by
using the sets A\cap [x, +infinity[ , where x is in X and A is a co-finite subset
of X as the basic open sets.
They stated that ever dense, delta-open subset of the space X is of the form
A cap [x, +infinity[ , where x is in X and A is a co-countable subset of X.
However, I have not been able to prove this statement, despite that they
considered it to be obvious. Therefore, I ask you to provide me a
reasonable proof.
Their statement is important. Namely, it can be used to prove that
Volterra spaces are genuine generalizations of Baire spaces.
Relevant references are:
1. D. Gauld et al, On Volterra spaces II, Ann. N. Y. Acad. Sci.
806 (1996), 169--173. ( Example 1.)
2. F. A. Ballone, Volterra Spaces, Dissertation, Youngstown State University,
2010, 74 pp. ( Example 5.3.1.)
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See the enclosed file. I hope that the proof is correct.
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I see that there are responses questioning whether reincarnation actually occurs, scientific studies, as best can be conducted, indicates that it does exist. Far too many people are able to accurately report details of an existence that they should not have knowledge of via any known physical means, sometimes details that take extensive research in restricted files to verify.
The second issue seems to be that people assume that there is just one understanding of reincarnation while in fact there are at least 4 different and widely separated cultures that generally accept it. One in India/SE Asia, one in Africa, one in the Northern portions of North America and historically one in Greece and other parts of Europe. Of these, only the India/SE Asia variety suggests that a human may reincarnate as anything other than a human. All the other cultures insist that reincarnation is always within the human species.
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Who are the scholars who work at the intersection of religion studies and the built environment?
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There are several notable scholars who work at the intersection of religious studies and the built environment. Here are a few:
  1. Sigurd Bergmann - A leading figure in the study of religion and the environment, Bergmann explores how religious beliefs and practices influence human interaction with the environment and the built space.
  2. Lisa H. Sideris - Specializing in religious ethics and environmental ethics, Sideris examines the interplay between science, religion, and environmental attitudes. Her work often addresses how religious narratives shape environmental sustainability.
  3. John Grim and Mary Evelyn Tucker - Both are renowned for their contributions to the study of religion and ecology. They have extensively written about how religious worldviews impact environmental values and practices.
  4. Whitney A. Bauman - Bauman’s research focuses on the relationship between religion, ecology, and social ethics. He looks at how religious beliefs and practices can influence environmental policies and sustainable development.
These scholars bring a multidisciplinary approach, combining insights from theology, ethics, and environmental studies to understand how religious beliefs and the built environment interact to shape human behavior and cultural landscapes
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Much is said about AI and the Communication field. Some say that Communications would very much benefit from that intersection. But specifically which areas would benefit from AI? Could it be a menace to the communications industry, reducing jobs and forcing big, unexpected changes within the companies?
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Hello Thais de Mendonça Jorge AI is more likely to be a force for positive change in the communications industry. It can improve efficiency, provide valuable insights, and personalize communication experiences. However, it's crucial to address the potential challenges by developing ethical AI frameworks, ensuring data privacy, and focusing on tasks that complement human communication skills.
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Hello,
I am conducting an expert study involving two distinct groups of psychology experts (study participants), each being specialized in a different concept. The first group is specialized in concept A, while the second is specialized in concept B.
Participants from each group are tasked with evaluating the 8 psychological resources in terms of their importance to the concept they are specialized in.
Using a scale ranging from 1 to 7, experts in the first group evaluate the importance of these resources to concept A, while experts in the second group evaluate the same resources in terms of their importance to concept B. The resulting data will be structured as illustrated in the attached images.
I intend to conduct two separate network analyses based on these evaluations:
  • One network analysis using data from experts in group A.
  • Another network analysis using data from experts in group B.
However, my objective is to identify the most central resources of a new concept A-B defined as the intersection of concepts A and B.
To achieve this, I would like to merge the two networks and identify the resources that are central within this combined network structure.
As I am relatively new to network analysis, I have a few questions:
  • Is there a network analysis technique suitable for merging networks based on data collected from distinct participant groups (however, with parallel sets of nodes, i.e., same 8 resources in both networks)?
  • Are there alternative network analysis approaches that could help achieve my study objectives, using the described methodology?
Thank you in advance for any insights you can share.
Best regards,
Dominik
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There are multiple ways to think about your problem. One is to address it before or without a network projection/analysis step. Basic statistics could probably answer your questions.
Network of resources
You need to keep in mind that you are studying the importance of resources, not the participants themselves. This may sound strange, but one way is to transpose your current tables into incidence matrix tables representing two networks of resources (resources connected by participants; line = resource). With this data structure you could compute a centrality measure on the resources.
Network of participants
Another possible way to approach the problem from your current tables is to create a network of participants. I see three variables: participant ID, group affiliation, and an ordinal scale for the importance attributed to each resource.
If you want to use Gephi (a great software for network visualization and analysis), you need two tables: one attributes table for your participants, with two columns (Participant ID, Group affiliation), and a second that corresponds to an incidence matrix showing the importance of each resource by participant (similar to your table, but combined into one).
So, all participants must be included in the same table instead of one table by group. In Gephi, you can use a force-directed layout and set your vertex/node color according to group affiliation variable, and observe the results. You could probably use your ordinal scale values as an edge weight parameter. Perhaps you will see cluster of participants connected by few edges (resources).
With a network of participants (based on your current tables), if you want to calculate resource centrality, you need edge centrality measure. I am not sure if you can directly compute this type of measure in Gephi.
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Hi,
I'm doing research n-type neuromorphic transistor device.
According to theory and other research, forming EDL (electro double layer) can cause anti-clockwise transfer curve.
However, as you can see below photo, there were change points from clockwise to anti-clockwise.
Do you know the reason?
I've inferred the effect of traps, but there are no articles related to the intersection points.
Thank you all,
Su-Kyung Kim
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The intersection point in a transfer curve typically refers to the threshold voltage (V_th) in devices like transistors. This curve plots the drain current (I_D) versus the gate-source voltage (V_GS). The intersection point is where the current starts to increase significantly, indicating the voltage at which the transistor begins to turn on and conduct. This point is crucial for understanding and designing circuits, as it determines the operational voltage range of the transistor.
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How would you explain this in a 2500 word essay looking at critical theories to do with intersectionality and academic references
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I have the origin and normalized direction(x, y, z between -1 and 1) of two lines, and I want to find the point where these two lines intersect. Can anybody please help me?
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Dear Doctor
"In order to find the point of intersection of two lines in three dimensional space, it is best to have both equations in parametric form. This module discusses how to determine whether two lines intersect or not.
Lines
The equation of a line in three dimensional space can be written in either vector, parametric or symmetric form. Vector form is not so useful for determining whether two lines intersect. Parametric form is preferred for this purpose.
Finding the Intersection of Two Lines:
The idea is to write each of the two lines in parametric form. Different parameters must be used for each line, say s and t. If the lines intersect, there must be values of s and t that give the same point on each of the lines. If this is not the case, the lines do not intersect.
The basic approach is:
  1. write each line in parametric form
  2. solve the simultaneous equations for the parameters
  3. if a solution exists the line intersect, if not they don’t intersect."
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Need clear direction and links to related articles.
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Yes, it is possible to use the intersectionality theory in sex trafficking topics. However, sex trafficking is a dangerous area to study, so be careful. You can check the literature that highlights the use of intersectionality theory in money laundering, human trafficking etc.
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Metaphysics is the branch of philosophy that deals with the fundamental nature of reality.There are a few metaphysical ideas that could potentially end stratification or the division of people into different social classes one idea is the concept of social justice.
This is the idea that all people are equal and deserve to be treated fairly.Another idea is the concept of social mobility, this is the idea that people should have the opportunity to move up or down the social ladder based on their own efforts.
Another challenge is that some people may be unwilling to share power or resources with others.
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Let X and Y be normed spaces. What will be the dual space of $X\cap Y$? We consider the norm on $X\cap Y$ to be the sum norm $\norm[x]=\norm[x]_X+\norm[x]_Y$.
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You can follow 1..10.13 Theorem from the book :An introduction to Banach space theory by Megginson
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A ludicrous notion.
Unless this is a very peculiar joke, and if it is, is a forum for research the appropriate place for it?
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Hello there. I hold MSc. in Civil Engineering and currently studying PhD. in Management/Finance. What could be topics for PhD related to the intersection of finance and construction industry? I appreciate your responses.
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🔬 Exciting Announcement! 🧠 Our upcoming Special Issue: "Artificial Intelligence and Machine Learning approaches for Survival Analysis in Neurological and Neurodegenerative diseases" is now accepting contributions!
🌐 Dive into the intersection of cutting-edge technology and healthcare as we explore the transformative potential of AI and ML in predicting disease progression.
🚀 Key Focus Areas:
  • Comparison & evaluation of ML approaches
  • Integration of diverse data types
  • Advanced methods for handling censoring
  • Strategies for imbalanced datasets
  • Early biomarkers in neurological diseases
🎓 Call for Papers: We invite researchers to contribute novel works in AI and ML methods tailored for Survival Analysis. Share your insights on predicting clinical events, assessing survival probabilities, or predicting risk scores in Neurological and Neurodegenerative diseases.
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En tant qu'enseignant chercheur en mathématiques je veux me reconvertir dans le domaine informatique spécialement dans l'intelligence artificielle
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What are people's takes on how to "bin" non-binary and gender nonconforming participants in surveys involving animal attitudes?
Given there's strong gender associations with animal attitudes (where women tend to show more positive/empathetic animal attitudes vs. men, all else equal [though there are cultural differences that modulate these]), it's important we include gender as a question in many of our surveys. But in assessing gender effects or associations on outcomes, I struggle with how to treat non-binary and gender NC respondents. There's usually only a few and I don't want to throw them out, but I wonder whether to batch them with women-identifying or men-identifying. I've heard cases for binning them with men so as to compare "women-identifying" against "everyone else", but my intuition would suggest that non-binary individuals may be more empathetic to animals given ideas about intersectionality, so perhaps it's better to batch them with women? Any suggested readings or thoughts to justify in one direction or other (or another option) are very welcome!
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You're very welcome!
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Hello, as part of one of my projects I am creating acyclic signal control programs in VisVAP for three intersections in PTV Vissim. I happened to run into a strange issue I cannot work around. After the first iteration of the program, which proceeds fine as the logic bracket correctly recognizes Stage 1 (which has been defined as the starting stage in a .pua file) as the current stage and completes its first iteration (first attached picture).
However on the second iteration the stage seems to automatically deactivate and the program is unable to see it. From now on the program constantly completes iterations by skipping the entire logic, since it consideres no stage to be currently ongoing (second picture).
The detector registry in Vissim during the simulation also displays that after the first second of the program the stage stops to work. (third picture) However strangely enough the green signals of stage 1 on the intersection continue to display signals forever until the end of the simulation - as if stage 1 was still physically working.
.vv, .vap and .pua program files and the simulation file have been attached. They work for the northernmost intersection called 'Ceglana'.
I have been unable to get past this problem and any help, especially quick would be really appreciated as my deadline is getting near.
Thank you very much
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It might help others too, I have a video that explains the cause and potential solutions.
Basically, the defined stages in the PUA cannot be found due to the signal group set up in Vissim.
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In a piece by Chen and colleagues (2023) we see that media and communication research must consider systems at multiple levels, including the intrapersonal level. Face to face communication has never been more important than it is now in our post-COVID world.
Chen, A., Cho, H., Evans, R., & Zeng, R. (2023). Reimagining communication in a post-pandemic world: The intersection of information, media technology, and psychology. Frontiers in Psychology, 14, 1154044.
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The fifth wave of media and communications Research implies scientific enquiries involving the recent paradigm shift in communication. This has to do with the evolving communication technologies and how they impact human interaction and societal development. The idea/theory is catalysed by the internet of things, big data and AI. Thus, the fifth wave is an era of comprehensive and interactive digital communication.
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Dear all,
I am currently working on a conical intersection search using Gaussian16 on Linux, and I've encountered an error that I'm having difficulty resolving. I would greatly appreciate any insights or suggestions you may have.
Here is my route section:
#p Opt=(Conical,maxcycle=400) CASSCF(6,6,nroot=2)/6-31g SCF (maxcycle=6000,conver=6,vshift=300) nosymm
The calculation appears to stop running, and the error message in the 9th last lines of the log file reads as follows:
FoFCou: FMM=F IPFlag=0 FMFlag=100000 FMFlg1=0
NFxFlg=0 DoJE=T BraDBF=F KetDBF=T FulRan=T
wScrn=0.000000 ICntrl=500 IOpCl=0 I1Cent=200000004 NGrid=0
NMat0=1 NMatS0=1 NMatT0=0 NMatD0=1 NMtDS0=0 NMtDT0=0
Symmetry not used in FoFCou.
Harris En= -958.757063311024
JPrj=0 DoOrth=F DoCkMO=F.
Leave Link 401 at Thu Nov 30 10:48:02 2023, MaxMem=5368709120 cpu:78.3 elap:78.6
(Enter /gpfs/softs/softwares/Gaussian/g16/l405.exe)
The intersection I'm looking for is between the ground and first excited states, so I'm putting the weight of the states after my molecule specification section as:
0.5 0.5
I'm uncertain whether this qualifies as an error, but the calculation halts at the initial step of the process. Any guidance on resolving this issue would be immensely helpful.
Thank you for your time and assistance.
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It appears your input file is geared towards a conical intersection search in Gaussian 16, and the error message in the output file suggests a halt during the Force Field Coupling (FoFCou) step.
Sir kindly try to troubleshoot:
  1. Check for Convergence: Ensure your initial geometry guess is sensible, and monitor if SCF and CASSCF calculations are converging. Lack of convergence can lead to premature termination.
  2. Adjust MaxCycle for Optimization: Consider increasing the maxcycle value (currently set at 400) for optimization. Conical intersections might demand more optimization cycles.
  3. Symmetry Consideration: Since the error indicates symmetry is not used in FoFCou, try running the calculation with symmetry (remove nosymm), especially if your molecule exhibits symmetry elements.
  4. Verify Geometry: Double-check the initial structure's geometry for reasonability as it serves as the starting point for optimization.
  5. Extend MaxCycle for SCF: The SCF maxcycle is set to 6000; if convergence is an issue, consider increasing this value.
  6. Disk Space and Memory: Ensure sufficient disk space and memory are available for the calculation.
  7. Consult Documentation: Refer to the Gaussian 16 documentation for specific recommendations or issues related to conical intersection searches.
Concerning state weights (0.5 0.5), this seems suitable for a ground-state to the first excited-state conical intersection.
If the problem persists, providing more context, including preceding error messages and warnings during SCF or CASSCF calculations, would be beneficial. Exploring the Gaussian discussion forum or reaching out to Gaussian support could offer additional insights into troubleshooting these specific issues.
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I have a public policy theory assignment on intersectionality and public policy. We are expected before the Tuesday night deadlne to address the connection between intersectionality and woke, as exemplified by the case of Britney Grier - essential reading attached - and how this fits in with woke and its opponents such as Trump, alt-right and Musk through social media. I'm struggling with getting 200 words or so togetheron this.So on the off-chance yoy have time I attach the reading and ask for ideas, angles etc.
Thanks
Liam
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Trump and Musk, often critiqued for dismissive stances, have been skeptical of woke culture. They argue against perceived excesses, expressing concerns about cancel culture stifling free expression. Meanwhile, proponents of intersectionality argue it's crucial for understanding and addressing systemic inequalities.
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I found the node of error from result tree. At that node i haven't specifically applied any constraint and it is at the intersection of beam and column
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Tejaswini Chilupuri, In visualization module, check the region where the Incorrect Dof is applied and troubleshoot your model accordingly.
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I would like idead and discussion on the contribution made by intersectionality s to the advancing ways in which intersectionality theory could extend efforts to elucidate public policy outcomes and women’s political leadership.
It would be great to get people's thoughts before November 28th 2023 as I have to submit an assiggnment on the subject that night.
Thanks in advance.
Liam
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Intersectionaly theory can be of importance in policy because it shows the linkages between many aspects that on may not think relate. For example in transports research which is my area of interest, you'll find gender interacts with other factors like race, social status, area of residence and even culture to determine mode of transport one will opt for at particular times of day. This can be eye opening to policy makers and urban planners as they plan for transport.
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How does the integration of artificial intelligence in architecture contribute to cultural sensitivity and inclusivity by incorporating diverse cultural and social factors into the design process?
*Cultural meaning is often nuanced and context-dependent. AI may struggle to fully capture the subtleties and complexities of cultural significance. Human interpretation and collaboration with cultural experts are indeed essential to avoid misinterpretation.
Continue from here, if you are interested...
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Cultural meaning is a multifaceted concept that encompasses the intricate nuances and contextual dependencies inherent in societies around the world. It is through cultural meaning that individuals and communities derive significance, identity, and value from their traditions, beliefs, customs, and artistic expressions. However, capturing the subtleties and complexities of cultural significance can be a challenging task for artificial intelligence (AI) systems. I argue that while AI may have its merits in analyzing vast amounts of data quickly, human interpretation and collaboration with cultural experts are essential to avoid misinterpretation due to the limitations of AI.
Firstly, cultural meaning and its complex nuances are deeply rooted in historical contexts, social structures, language intricacies, symbolism, metaphors, rituals, and collective memory. These elements often intertwine to form layers of significance within a particular culture. Understanding these layers requires a comprehensive understanding of the historical background as well as the ability to navigate through various socio-cultural dimensions. While AI algorithms can process large volumes of information efficiently, they lack the capacity to perceive underlying meanings or grasp subtle implications that may arise from cultural practices or symbols.
Secondly, human interpretation plays a vital role in unraveling the depths of cultural significance. Humans possess an innate ability to empathize with others' experiences and emotions. They bring personal experiences and knowledge into their interpretations which allow for a more holistic understanding of cultural meaning. Additionally, engaging with experts who have spent years studying specific cultures enables us to gain insights into local customs and values that might not be readily apparent or easily accessible through AI systems alone.
Thus, while AI technology has made remarkable advancements in various fields including language processing and pattern recognition; it still struggles when it comes to fully capturing the subtleties and complexities intrinsic to cultural meanings. Human interpretation combined with collaboration with cultural experts remains indispensable for avoiding misinterpretation caused by oversimplification or overlooking crucial contextual factors within different cultures. As we move forward in an increasingly interconnected world, it is imperative that we recognize the limitations of AI and emphasize the importance of human involvement in understanding and appreciating cultural significance.
Cultural Meaning And Its Complex Nuances:
Cultural meaning, with its intricate nuances and contextual intricacies, presents a formidable challenge for artificial intelligence (AI) systems. The subtleties and complexities embedded within cultural significance often elude the grasp of AI, leaving room for potential misinterpretation. Indeed, human interpretation and collaboration with cultural experts are indispensable in navigating this intricate landscape.
Cultural meaning is an amalgamation of historical, social, and individual experiences that shape the values, beliefs, and practices of a particular group or community. This rich tapestry of meanings is deeply rooted in specific contexts that may not be readily apparent to AI algorithms. The idiosyncrasies associated with cultural significance demand a level of understanding that surpasses the capabilities of machine learning alone.
Moreover, cultural meaning evolves over time as societies develop and adapt to new circumstances. This dynamism further complicates AI's ability to capture the ever-changing intricacies inherent in cultural significance. While AI systems excel at processing vast amounts of data quickly, they lack the capacity to comprehend the deeper layers that underpin cultural meanings.
Human interpretation offers a crucial bridge between cultures and their subtle intricacies. It is through human cognition that we can discern hidden connotations and implicit messages embedded within cultural artifacts or practices. The interpretive lens provided by individuals allows us to navigate the complex nuances that define cultural meaning.
Collaboration with cultural experts further enhances our understanding by providing specialized knowledge and insights into specific cultures or communities. These experts possess an intimate familiarity with the customs, traditions, and symbolic representations unique to their respective domains. By working hand-in-hand with AI systems, these experts can guide their training processes while also ensuring accurate interpretations are maintained.
To rely solely on AI for capturing cultural significance would risk oversimplification or misinterpretation due to its inherent limitations in comprehending the depth of human experience embedded within cultures worldwide. It is only through embracing human interpretation alongside technological advancements that we can approach a more comprehensive understanding of cultural meaning. This collaboration between humans and AI offers the potential for richer, more nuanced interpretations that respect and honor the complexities inherent in cultural significance.
The Role Of Human Interpretation In Cultural Significance:
Human interpretation plays a pivotal role in unraveling the intricate tapestry of cultural significance. The multifaceted nature of cultural meaning necessitates a nuanced approach that AI may struggle to fully comprehend. Cultural significance is deeply rooted in historical, social, and contextual contexts, requiring a level of understanding that surpasses mere data processing. While AI systems excel at analyzing vast amounts of information, they often fall short when it comes to capturing the subtleties and complexities inherent in cultural signifiers.
Culture is a living entity that evolves over time, shaped by the collective experiences and beliefs of its participants. It embodies layers upon layers of symbolic meanings that are not easily deciphered without human interpretation. A prime example can be found within language itself - idioms, metaphors, and colloquial expressions are laden with culturally specific connotations that cannot be accurately interpreted solely through algorithms or statistical models. Human interpreters possess the unique ability to discern these nuances and bridge the gap between linguistic expressions and their underlying cultural implications.
Furthermore, collaboration with cultural experts is crucial in avoiding misinterpretation when attempting to capture cultural significance. These experts possess an extensive knowledge base built upon years of research and immersion within their respective cultures. Their expertise allows them to navigate the labyrinthine depths of symbolism embedded within artifacts, rituals, or artistic expressions. By engaging with these experts throughout the interpretive process, we ensure that our understanding remains faithful to the intended meaning behind cultural practices.
Moreover, human interpretation brings empathy into play - an essential element for grasping cultural significance comprehensively. Empathy allows us to recognize the emotional undercurrents woven into various aspects of culture - from traditional ceremonies steeped in ancestral reverence to art forms reflecting societal aspirations or struggles. This emotional dimension is challenging for AI systems to comprehend as it requires an understanding not only of historical context but also an appreciation for shared human experiences.
While AI may provide valuable insights into certain aspects of culture, its limitations in capturing the subtleties and complexities of cultural significance are evident. Human interpretation, coupled with collaboration with cultural experts, is indispensable in deciphering the nuanced meanings embedded within cultural practices. By embracing this collaborative approach, we can ensure a more accurate and respectful understanding of diverse cultures while avoiding misinterpretation that may arise from relying solely on AI-driven analysis.
Conclusion:
In conclusion, it is clear that cultural meaning is often nuanced and context-dependent, making it challenging for AI to fully capture the subtleties and complexities of cultural significance. Throughout this essay, we have explored two key aspects that highlight the limitations of AI in this domain.
Firstly, we have delved into the concept of cultural meaning and its complex nuances. Cultural symbols, practices, and traditions are deeply embedded in societies and carry rich historical, social, and emotional connotations. These intricate layers of meaning cannot be easily deciphered by AI algorithms alone. Human interpretation is necessary to grasp the full scope of cultural significance as it involves understanding not only explicit meanings but also implicit ones that may vary across different contexts or even among individuals within a community.
Secondly, we have emphasized the crucial role of human interpretation in understanding cultural significance. While AI can process vast amounts of data quickly and efficiently, it lacks empathy, intuition, and contextual awareness – all essential elements for comprehending cultural meanings accurately. Collaborating with cultural experts who possess deep knowledge about specific cultures helps bridge this gap by providing valuable insights into local customs, beliefs, historical events, linguistic nuances, and other critical factors that shape the intricacies of culture.
To avoid misinterpretation when dealing with culturally significant material or content generated by AI systems such as language translation or image recognition software in multicultural contexts requires a collaborative approach involving both humans and machines. By combining human expertise with AI capabilities – leveraging technology as a tool rather than relying on it solely – we can ensure more accurate interpretations while respecting the diversity and complexity inherent in various cultures.
In summary, while AI has made remarkable advancements in many areas of human life today; its ability to fully capture the subtleties and complexities of cultural significance remains limited. Human interpretation combined with collaboration between experts from diverse cultures will continue to be indispensable for avoiding misinterpretation when dealing with matters pertaining to culture.
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Intersectionality is an analytical framework for understanding how individuals' various social and political identities result in unique combinations of discrimination and privilege. Intersectionality identifies multiple factors of advantage and disadvantage. I have an assignment due on the subject next Tuesday evening and I would value any brainstorming, research sources etc.
I attach the reading which is the basis for what is a reflection study.
Thanks in advance.
Liam
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I started reading your share tonight, Mark - it's giving me some good angles. I haven't studies at Master's level since 1996 - and I also started a new job a few weeks ago - so your help is really appreciated.
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I'm newly exploring the intersection of leadership and psychology on ResearchGate. Can anyone recommend seminal papers or influential researchers in this field that I should be aware of?
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As a starting topic for undergraduate research
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The intersection of Natural Language Processing (NLP) and Neurolinguistics offers a rich area for research, as it combines computational techniques with the study of how the human brain processes language. Here are some interesting topics that might match with your question:
1- Neural Language Models and Brain Activity: Investigate how state-of-the-art neural language models, like BERT or GPT, align with brain activity during language processing. Analyze EEG or fMRI data to understand how neural networks' internal representations correspond to human language comprehension.
2- Neural Signatures of Language Disorders: Investigate how NLP techniques can identify and classify neural signatures associated with language disorders like aphasia, dyslexia, or autism. Explore potential diagnostic or therapeutic applications.
3- Multilingualism and Brain Activity: Explore how the human brain processes multiple languages and the impact of bilingualism or multilingualism. Investigate whether NLP models can provide insights into the cognitive advantages of multilingual individuals.
4- Neural Encoding of Ambiguity: Explore how the brain handles linguistic ambiguity and investigate whether NLP models can capture similar patterns. Analyze how neural representations change when encountering ambiguous language.
5- Motion and Language Processing: Investigate the relationship between emotional content in language and brain activity. Explore how sentiment analysis and emotion detection techniques in NLP align with affective states represented in the brain.
6- Cross-Modal Transfer Learning: Study how knowledge acquired in one modality (e.g., text) can be transferred to another (e.g., images or speech) in NLP models and the human brain. Investigate transfer learning techniques and their neural correlates.
While there may not be widely available datasets that precisely match this specific research question, you can explore the following datasets and resources that contain neuroimaging data related to language processing and comprehension:
  1. NeuroLang: NeuroLang is a database of neuroimaging studies with a focus on language processing. It provides access to various fMRI and EEG datasets, which may be useful for understanding neural representations during language comprehension.
  2. Neurosynth: Neurosynth is a platform that offers access to a large database of neuroimaging studies. While it's not specific to language processing, you can search for studies related to language and use the associated data for analysis.
  3. Human Connectome Project (HCP): HCP is a comprehensive project that provides high-quality fMRI data. It includes data related to language tasks, which can be used to explore neural representations during language comprehension.
  4. OpenNeuro: OpenNeuro hosts various neuroimaging datasets, some of which may include language-related studies. You can search for datasets that match your research interests.
  5. Natural Stories: The Natural Stories dataset contains fMRI data recorded while participants listened to stories. It's suitable for investigating language comprehension and can potentially be used to analyze neural representations during storytelling.
  6. The Brainomics/Localizer Dataset: This dataset contains fMRI data from participants who performed language and perception tasks. It can be used to study neural representations associated with language processing.
  7. The BOLD5000 Dataset: BOLD5000 is a large fMRI dataset that includes a wide range of stimuli, including sentences and stories. It can be used to investigate the neural basis of language comprehension.
  8. EEG Database Portal: The EEG Database Portal offers access to various EEG datasets. While EEG data is less detailed than fMRI, it can still be useful for studying language-related brain activity.
As a piece of advice to students, if they decide to work with neuroimaging data, it's essential to carefully review the data's documentation, preprocessing steps, and relevant research papers to ensure it aligns with your research goals. Additionally, consider the ethical and legal aspects of working with human neuroimaging data, and follow any applicable guidelines and regulations.
Good luck!
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I would like to refine my research topic and may be find some researchers who would be interested in collaboration with me.
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Most of the political instruments that are also used in ecological and behavioral economics come from the field of public economics. Most of the theoretical elements were also taken from this research field. One can therefore certainly say that these newer teaching and research areas emerged from public economics.
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I did a review on the intersection of deep learning intrusion detection and homomorphic encryption as part of systematic review for my PhD. I am looking an appropriate journal to publish it. it is my first work I do not know the quality of my work. I want a journal that has a short review time. any suggestion and recommendations would be appreciated.
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You can go to DOAJ Journals directory. Search for relevant journals in deep learning. Select one and submit your manuscript. If you have grants, I will suggest you go for subscription journals especially non-Gold APC journals.
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In general, we use the intersection, union and other operations.
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If you are looking at the relationship between the data points in two variables, then there are no points in the empty set, it is irrelevant.
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Greetings!
I have an issue that drives me crazy this evening...
I have a list of gene vectors, downregulated in different transgenic plants and I want to make a Venn diagram to visualize it and to show the intersections between plants.
But! The results from any package I used (in R) gaves me something like this (the uploaded picture 1)...
What's bothering me:
1. The numbers on "clear" (not intersected) parts of a diagram are lower, than the gensets I have. And I tried to use factor instead of character vectors, to remove possible duplications, to remove symbols (like space) that could cause software misunderstanding - all gaves me nothing... same result.
2. The intersection of vectors is not true - on the picture you can see that the intersection of 2 datasets (of 365 and 154 genes) - is 1133 genes!! How could that be?
The manual usage of intersect function on the same dataset gaves pretty correct results.
Maybe I am misunderstanding about Venn diagrams? Because in a web I found many examples of such strange mistakes - on the second picture from Datanovia you can see that the intersection of the red elliplse (of 58) and yellow (of 144) is 66!
It seemes logical to me that the intersection of 2 vectors cannot be greater than the length of a smaller vector. What am I doing wrong or misunderstanding?
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I believe Rob is correct.
Since you are using the intersect function, the numbers in your figure (e.g. 365 and 154) are the number of genes without any intersection.
The total genes of each set (e.g. OE21) will be the sum of all the numbers in each intersection + genes with no intersection. I couldn't do full sum for you as the core intersection number is missing.
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In order to calculate the volume of an in situ block intersected by three joint sets, besides spacings between joints, we also need the intersection angle between joint sets. How can we calculate the intersection angle between joint sets using dip and dip direction data? Can you recommend any methods, software, or papers related to this subject?
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Dear Followers of the Question,
I asked my question to ChatGPT. Here is the answer:
To calculate the intersection angle between two joint sets using dip and dip direction data, we can use the following formula:
cos(θ) = cos(α1)*cos(α2) + sin(α1)*sin(α2)*cos(δ1-δ2)
where:
- θ is the intersection angle between the two joint sets
- α1 and α2 are the dips of the two joint sets
- δ1 and δ2 are the dip directions of the two joint sets
Once we have calculated the value of cos(θ), we can use the inverse cosine function (usually denoted as cos^-1 or acos) to obtain the value of θ.
Note that dip direction data is typically given in degrees clockwise from north, so we may need to convert this to azimuth (degrees clockwise from east) before using the formula. This can be done using the following formula:
azimuth = (450 - δ) mod 360
where:
- δ is the dip direction in degrees clockwise from north
- the "mod 360" ensures that the value of azimuth is always between 0 and 360 degrees.
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Blockchain technology has gained significant attention due to its potential to revolutionize many industries, including finance, healthcare, and supply chain management. Recently, the intersection of blockchain technology and energy has been gaining momentum as well. With the rise of renewable energy sources, such as solar and wind power, blockchain technology has been seen as a potential solution to some of the challenges facing the energy sector, including the need for decentralized energy systems, efficient energy management, and secure and transparent transactions.
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It is challenging, time-consuming and expensive to make adjustments, correct errors, or modify data once recorded with Blockchain technology as codes have to be re-written in all of the blocks. However, transformations that Blockchain technology could bring to the energy sector such as secure data management, P2P energy trading and decentralized grids cannot be overemphasized. Additionally, the potential of energy producers deploying Blockchain technology to issue energy tokens that could either be resold or consumed, and also create a clean, stable multidimensional grid makes further investigation into Blockchain technology and the energy industry significant. @Sidique Gawusu
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Would like to connect if you have explored using quantitative methods for intersectionality analysis.
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You could have a look at:
The approach is like CHAID but is is model based and uses random effects not fixed which is protective of finding unimportant unreliable results.
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Hello,
can I approximate a discrete-time, time-invariant input-affine nonlinear system with a PWA system and guarantee that all trajectories of the nonlinear system are also contained in this PWA system? So the PWA system is supposed to be an overapproximation.
The idea is then to compute the control invariant set for each state space representation and use the intersection of all as an approximation of the control invariant set of the nonlinear system
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Hi Ricky, Yes, it is possible to approximate a discrete-time, time-invariant input-affine nonlinear system with a piecewise affine (PWA) system and guarantee that all trajectories of the nonlinear system are also contained in this PWA system. This technique is known as PWA approximation or PWA overapproximation.
The idea behind PWA approximation is to partition the state space of the nonlinear system into a finite number of polyhedral regions, and then construct a linear system for each region. The resulting PWA system is an overapproximation of the nonlinear system because it contains more regions than necessary, and each linear system is only valid within its corresponding region. However, if the regions are chosen carefully, the PWA system can provide a good approximation of the nonlinear system for many practical purposes.
To construct a PWA approximation of a nonlinear system, we first need to partition the state space into a finite number of polyhedral regions. This can be done using a variety of techniques, such as clustering algorithms or Voronoi tessellation. Once the regions have been defined, we can construct a linear system for each region by linearizing the nonlinear system around a set of operating points within each region. The resulting PWA system can be expressed as:
x(k+1) = Ai x(k) + Bi u(k) + ci, i = 1,2,...,N
where x(k) is the state vector, u(k) is the input vector, and N is the number of regions. The matrices Ai, Bi, and ci are the state transition, input, and offset matrices for each region, respectively.
To guarantee that all trajectories of the nonlinear system are contained in the PWA system, we need to ensure that the PWA system is a valid overapproximation of the nonlinear system for all possible initial conditions and inputs. This can be done using Lyapunov-based techniques or set-based methods, which involve computing the control invariant set for each state space representation and using the intersection of all sets as an approximation of the control invariant set of the nonlinear system.
The control invariant set is the set of initial states for which there exists a control input that can keep the system within a desired region of the state space. This set can be computed using a variety of techniques, such as linear programming or semidefinite programming. Once the control invariant sets have been computed for each region, we can compute the intersection of all sets to obtain an approximation of the control invariant set of the nonlinear system.
PWA approximation is a useful technique for approximating nonlinear systems with a finite number of linear systems. By partitioning the state space into a finite number of polyhedral regions and constructing a linear system for each region, we can obtain a good overapproximation of the nonlinear system. To ensure that the PWA system is a valid overapproximation for all initial conditions and inputs, we need to compute the control invariant set for each state space representation and use the intersection of all sets as an approximation of the control invariant set of the nonlinear system ;)
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Imagine there is a uncontrolled four or three way intersection (No sign, No signalization). And assume the roads have same priority.
In this case, the rules are:
1. First in first out (The vehicle that reaches the intersection first should proceed first)
2. If several drivers reach a four way intersection at the same time:
a. Drivers on the left must yield to the drivers on the right.
b. Vehicles turning right or left must yield to oncoming (straight) traffic.
What if two vehicles reaches the intersection at the same time and if the situation is as shown in the figure. Which vehicle has the right of way?
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If A and B reach the intersection at the same time and the intersection is a four-way stop sign intersection, then the B, from the right side of A, has precedence. For example, A does not even necessarily know that B wants to turn left. Whether B has his turn signal on or not should make no difference. If A and B were both to go straight through, the same rule holds.
However, if A wanted to turn right, I don't think it needs to wait for B. A can turn right at the same time that B is turning left. Especially if both of them are signaling their intentions, as they should be, this causes no problem.
In roundabouts, in places where people drive on the left side of the road, the rule that cars inside the roundabout have priority makes sense. That's because anyone wanting to enter into the roundabout has to let cars from his right go through first.
It is instead confusing in places where people right on the right side. In roundabouts, you always have to give precedence to vehicles inside the roundabout, but these vehicles are arriving from your left side. Which may explain why roundabouts are not as popular in countries where you drive on the right.
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My sample include small liquid crystal, monomer and photoinitiator. the mixture is a little viscous at room temperature. The sample was tested by rheometer. The resulr was G' was higher than G'' at the beginning, which is contrary to theory. When the Uv light was turned on, G' dropped signnificantly and was lower than G'' and then rose again over G'', which means I got two intersection points in this test. Theoretically it shoud be that G'' is greater than G' and lower G' after passing the gelation point. I'm very confused and fail to figure it out. thank you if you can help me fix this.
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because free radical changes,have occurred when activating,or exposted to uv radiation
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Dear colleagues,
How can I check the stability by Bode plots of a system has infinity gain cross over frequency and also infinity phase cross over frequency ( No intersection with 0 db line and no intersection with -180 line)?? and what this means??
I am grateful in advance.
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a Bode plot is a graph that shows how a system behaves at different frequencies. If a system has an "infinity gain crossover frequency" and an "infinity phase crossover frequency," that means it's not stable.
Think of stability as how much a system can change or grow without getting out of control. If a system has an infinite gain and phase crossover frequency, it means that its growth and change are unlimited. And when you don't see an intersection with the 0 dB line or the -180 degree line, it means the system is really not stable, because it keeps growing and changing without any bounds.
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I want to make Venn diagram that has more than 50 sets, each contains two number.
The data looks like the table below, the total column is variable among samples but the intersection is constant number
total intersection
set1 1000 10
set2 1200 10
set3 1350 10
.
.
.
set50 3000 10
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Next, many valuable answers regarding Venn diagram, as well as some software solutions, you may find in this posts:
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Can any one help me to find an intersection point between a segment and a N-dimensional hyper-ellipsoid (E)? The segment can be linked between the mean-value point (O) of the ellipsoid and an arbitrary point (P) outside of the ellipsoid.
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Probably a bit late, but in case other's need it.
The solution I have currently could likely be improved, but it does the job.
Definitions
Let P_i be the i-th dimension of point P (the point outside of your ellipsoid)
Let O_i be the i-th dimension of point O (the center point of your ellipsoid)
Let E_i be the i-th dimension of your ellipsoid
sum_i() means to add each element over i
Quick Answer:
Use a parameterization of your line between O and P to solve a system of equations to find the intersection point of the ellipsoid. This results in the following quadratic:
a = sum_i ((P_i - O_i)^2 / E_i^2))
b = 2 * sum_i (O_i * (P_i - O_i) / E_i^2)
c = sum_i (O_i^2 / E_i^2) - 1
t = (-b +/- sqrt(b^2 - 4ac)) / 2ac
The first result (adding the sqrt) will be the point on the ellipse towards the point P, and the second result (subtracting the sqrt) will be away from point P.
Explanation
Each axis of an N-dimensional ellipsoid is of the form
x_i^2 / E_i^2
You can construct the ellipsoid using
sum_i (x_i^2 / E_i^2) = 1
(e.g. x^2/4 + y^2/9 + z^2/16 = 1 is a 2x3x4 3D ellipsoid)
If we have a line with the direction of v at point p, we can parameterize this line in N-dimensional space:
r(t) = vt + p
Now, we can plug in our definition for r into our definition for the hyper ellipsoid in order to solve for t:
sum_i ((v_i * t + p_i)^2 / E_i) = 1
If you simplify the above equation and set it equal to zero, you will find that you're left with t^2, t^1, and t^0 terms, which can then be isolated and factored out using a quadratic equation (getting the a, b, and c terms in the answer above.)
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Do you agree with me? Just as a straight line consists of two points, and the intersection between them is at a point, engineering, scientific, medical and literary research can meet at a point. This is why researchers in all fields should look at most of the research and benefit from it in their next research, even by a point?
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Dear colleagues many thanks for your kind words and valuable responses
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I have not been able to find much research on DBT in BIPOC populations, how to adapt DBT skills for these populations, and how DBT Consultation Teams focusing on these populations run outside of the Pierson, 2021 article. In addition to BIPOC populations, I'm interested in how DBT has been applied to other minority populations (e.g., LGBTQIA+).
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Have you reviewed?
Haft, S. L., O’Grady, S. M., Shaller, E. A. L., & Liu, N. H. (2022). Cultural adaptations of Dialectical Behavior Therapy: A systematic review. Journal of Consulting and Clinical Psychology. https://doi.org/10.1037/ccp0000730
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As we’re aware, intersectionality is described qualitatively. However, measurement of the biopsychsocial impact of intersectionality would prove fruitful.
How would you go about it ?
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My research posted on RG addresses some of what you are requesting. Likert Scales, rating systems, etc. Then, comparing the results.
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Hello everybody,
I am simulating a 2D model of microparticles motion in a microdevice using laminar flow and particle tracing modules in COMSOL. The device has three inlets and two outlets. The particles are just injected from the central inlet. There are some pillars in the device and I defined "bounce" B.C at their walls. I set different pressures at the inlets (e.g., 2.2[mbar], 2[mbar], 1.8[mbar]), however, in some cases when I increase or reduce the pressures, particles disappear at the beginning from the inlet so that I cannot see particles in the device during the running. Sometimes at the end I also receive the following error:
"Some particles have been removed from the simulation because of a failure in finding the wall intersection."
I would be grateful if a one could help me with this issue.
Best,
Zohreh
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Hi
my first approach would be to check the mesh and geometry at the particle inlets. However, when Comsol recognizes your fluid chamber as one domain, it is unlikely that the geometry itself is flawed. But maybe a diffrent mesh helps.
Is there a reason for defining the inlet pressure rather than an inlet velocity? Because when the pressure difference from inlet A to B becomes too big, a flow from one inlet to the other inlet will rise. You could suppress this by changing the boundary condition to velocity/volume flow normal to the inlets.
Good luck
Jasper
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I'm annotating CT scan slices from CQ-500 dataset with ITK-snap. One slice contains two labels(Subarachnoid and Intraparenchymal) in the same area. Here is the link: https://ibb.co/FJpyVZF
I'm trying to annotate this slice with ITK-snap. Since two labels are overlapping, the intersection area in the slice should contain both labels. But it shows it only contains the label which has been drawn last. Since the Subarachnoid area was drawn last over the Intraparenchymal area, the final segmented image only shows it contains Subarachnoid in the intersection region. I'm attaching the annotated slice (https://ibb.co/F3TrXtq) and segmented slice (https://ibb.co/sRgdndY) to clear my point.
What can I do to make the intersection area contain two labels? I'm new to ITK-Snap, so any help will be great.
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Thank you, Vikas Ramachandra . I have never done labeling with Pydicom, I will surely try it. I have solved my initial problem with 3DSlicer. Unfortunately, overlapping segmentation can only be done in 4D volume in 3dSlicer. I don't want to dive into 4D volume now, so I was thinking what if I create separate Nifti files for each separate label and train them in a 3D model (maybe U-Net). Would not that be okay? And what would be the appropriate loss function for this task as my dataset is very imbalanced?
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I am modeling a hollow body with air inside.
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Have you fixed the problem?
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I need a blog, website, or social platform where I can post an online survey for people to take it. I am currently based in lower Manhattan and much of the survey responses from people in my network and elsewhere have been from people who identify as politically liberal. Given that my study looks at perceptions and judgments at the intersection of race and class, it is essential for me to look at people who hold a variety of beliefs. However, given the current state of the U.S. in terms of its national politics, some people are less likely to identify as conservative given the rising stigma attached to the label.
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I''m not a researcher. I'm an 80 year old college student and I don't have any expertise
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Hello, I have 91 items ranked by groups of participants. The rank lists for each group are therefore all the same length and contain identical items.
I know I can perform correlation measures (e.g. Kendall's Tau) or intersection measures (e.g. Rank Biased Overlap) to determine how similar the rankings from different groups are, in general. But are there any statistical tests available to tell me which items in the lists are ranked significantly differently?
Thank you!
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So you can look at the pairwise comparison data rather than the rankings.
Not sure I understand what your research question is. Is it to identify items that are very different from each other (and choose(91,2) is about 4k, so difficult to know what is meant by significantly there). Can you say what your research question(s) is(are)?
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Hello, dear experts!
I need to create a mesh for Finite Element Method in 3D space around the junction of two hollow cylinders. This represents two intersecting oil wells.
I need hexahedral shape for cells (elements). I've found a way to generate a mesh around one cylinder using cylindrical coordinates to arrange the mesh nodes (https://i.stack.imgur.com/vjGiK.png), but can't find a way to adapt this approach to generate hexahedral cells in the area of cylinders junction.
The main question: is there any software or algorithm that can help me to generate the desired mesh? Either freeware, or not. I mean specifically mesh generator as a separate tool.
If I have to develop algorithm by myself, what approach could you recommend to do that? What literature could help?
Any advice and comment on the subject will be appreciated.
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I have some data from the tensile experiment.I have found the Young Modulus of Elasticity, and also drawn the offset line now I would like to find the yield point where the line intersects the curve.Could you please help me. I am attaching my Matlab script and the data file.
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Can you please upload the script?
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I would really want to know why I have the intersection between my adsorption and desorption curve. If someone will also add a source with their answer, that would be very great!
Some extra info:
It is a N2 isotherm (at 77K). Instrument: Quantochrome. Degassing part took a whole night.
Sample weight around 50 mg. It is a COF with probably a lot of microporous.
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Hi Dr Saira Butt . I think from the names adsorption and desorption, they are two opposite processes . So at some time adsorption = desorption this means that they will intersect at some point.
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According to the attached image of the procedure of the ASF to find the maximum of extreme point in NSGA3, why we simply choose the solution with the minimum ASF value having in the
i-th objective??
We already know that ,these m extreme points are used to form the hyper-plane and computing the intersection of it by the axes.
In some cases the determinant of the matrix of these m extreme points is zero so that it's singular and the intersection couldn't be computed.
What's the solution??
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Adding more objectives to be optimized to a multi objective optimization problem, make it a many objectives one, in which each of the objective function measures a different parameters.
So in order to compare the solutions according to their objective values, the value of the functions should be mapped in the interval of [0,1]
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Emergency rescue facilities locations (ERFLs) problems are usually problems that arise from the interdisciplinary intersection of safety science (engineering) and operations research. Are there any academic journals that are worth tracking or submitting to for research on such issues?
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My fields of research are cinematic culture, cinema history, and more specifically
perhaps :French cinema.I know nothing about keeping the nature of the film itself safe(colors, climate and so on...).Best thanks to Research Gate ...
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Hello,
I have created a tunnel with a curved path. But I can't find a way to limit the tunnel size to the model size.
Since the intersection is not circular between the end of the model and the tunnel I can't find how to limit the tunnel length.
And the calculations do not converge because the sheet exceeds the limit of the model, and considers that the limit is the end of the tunnel alignment.
I would like to know if you can help me to solve this problem.
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At the price you are paying for the licence, I would expect Plaxi 3D to provide support. Outside of Plaxi, the problem does not sound very difficult.
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There are lots of work going on related to the intersection of consistency regularisation and image segmentation. Can anyone explain to me why consistency regularisation, i.e. finding consistency between two different segmentation map helps the overall learning, and why is it better than a simple encoder-decoder architecture?
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Thank you Stéphane Breton
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How much time is necessary between successive vehicles in a traffic stream at a signalized intersection?
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It will be sufficient to take a follow-up headway of 3 seconds as the necessary time ga successive vehicles in a traffic stream at a signalized intersection
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Dear Global Research Community,
The issue of ,Race' and Blackness has been invisible in Eurocentric Disability Studies as Postcolonial, Migration and Black Studies more broadly have been accused of neglecting the issue of Disability in their critical analysis of power and racial discrimination.
Do you think black feminist and intersectional disability frameworks could fill this gap in critical examination of the colonial dynamics of power and knowledge?
Thank you so much in advance for your critical thoughts!
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Have you checked the respective papers:
Black feminist disability frameworks have already been suggested and developed, e.g.:
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I need suggestions for research topics that involve both speech and image, that use/need expertise in both speech/audio and image.
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Dear Rizwan,
An interesting topic is detection of truth or falsehood in face-to-face interviews.
BTW, we published two papers about detection of truth or falsehood in textual stories:
(1) HaCohen-Kerner, Y., Dilmon, R., Friedlich, S., & Cohen, D. N. (2016). Classifying true and false Hebrew stories using word N-Grams. Cybernetics and Systems, 47(8), 629-649.
(2) HaCohen-Kerner, Y., Dilmon, R., Friedlich, S., & Cohen, D. N. (2015, October). Distinguishing between True and False Stories using various Linguistic Features. In Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters (pp. 176-186).‏‏
Best regards,
Yaakov
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I am conducting a study on multiple marginalized identities and mental health outcomes.
What would be the best data analysis I should use to assess the interaction between different variables and the way they intersect with each other.
Thank you
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I think that a mixed methods study which includes a qualitative analysis could be better to assess that intersectionality. I did It in my masters' research and I found Very positively results.
You can acess it at this link:
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Hi, I am using VISSIM 2020 student version and SSAM 3.0. I am able to create a trajectory file from VISSIM and analyze it in SSAM to count the probable conflicts. However, In the map view of SSAM software, I am unable to show the road network. It shows only conflict points. I have attached herewith the intersection in VISSIM and conflict count in SSAM.
Would you mind to tell me how may I show network in SSAM?
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Did you get the solution? I have the same problem Md Mahmud Hasan Mamun
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How to traverse the picture through the 3*3 sliding window to find the end point and the intersection point (that is, one white point is the end point, and 4 white points are the intersection point) I need matlab code.
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Do you have raw data, or just a picture?
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Bilingual students are standard bearers of Linguistic repertoire use. How can monolingual students learn from the mastery of translanguaging, a tool, a role and strategy bilinguals use to better learn mathematics, science and even the Arts? The undertanding of the intersectionality of language, culture and historical back knowledge as stated in CHAT, help inform the present and future mathematics learning of not only bilingual and monolingual students, but teachers as well in English-only setting. How can translanguaging evolve over time to help metigate the mathematics learning process of bilinguals and monolingual students and Teachers?
Thanks for your future feed back on this very essential topic.
Dr. Coker
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This is done through the upper hand language which mostly is the international language. But explanations can be done through the mother's language. @Mustapha P. K. Coker
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Let ABC be a triangle with angle BAC<90o . Let M on AC and N on AB be two points so that MA=MC and CN is orthogonal to AB. Let P be the intersection point of BM and CN. We suppose that BM=CN. Prove that BP=2PN.
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Dear Dinu,
it seems that the assumptions concerning the angles are redundant.
Solution to the problem:
Consider B´such that B is a midpoint of AB´. We obtain two pairs of similar triangles:
  1. In the triangle AB´C we have B´C=2BM (=2BN).
  2. In NB´C, the ratios BP : B´C = NP : NC.
Putting 1. and 2. together we obtain BP=2PN.
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As status of SA about 15% of road accidents are due to collision between a vehicles and a train on the intersections.
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Interesting topic.
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Hi RG colleagues,
I am looking for resources and activities for my class on cross-cultural studies. In particular, I am looking for resources for a module on the intersection of race and gender and how that impacts intercultural anxiety. Any leads would be super helpful.
Warm regards,
Gulnaz
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Hi Gulnaz, I think this could help you more:
Nusbbaum, M. (2000). Women and Human Development: The Capabilities Approach, Cambridge, NY: Cambridge University Press.
Hope you do well!
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Articles that share the history and development of medicine in the UK, any aspect of medicine and medical education.
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I have only researched the subject for the Portuguese colonies (Mozambique, East Timor, and Macao) but I have consulted several studies regarding the British and the French colonial empires. One of the books that I found interesting is:
SETH, Suman. Difference and Disease: Medicine, Race, and the Eighteenth-Century British Empire. New York: Cornell University, 2018 (you will find a generous bibliography and sources in this book).
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In general, the CMC results from the intersection between the regression straight line of the linearly dependent region and the straight line passing through the plateau. But before the plateau, we could detect a minimum region on the experimental curve. I would be wondering if there is a qualitative or quantitative explanation for the minimum surface tension near the cmc.
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This minimum is due to small amounts of surface active impurities. The classic example is for SDS where the minimum is due to dodecanol created by hydrolysis splitting off the sulphate group.
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I have traffic volume data collected over seven days (morning and evening daily) in 15-min intervals. I want to aggregate this seven-day (15 min counts) data into an hourly volume in order to visualize it through a heat map. Also, how to get AADT, ADT, DHV, and DDHV from this available data? Attached are the TMC sheets (All) in Excel/CSV format for seven days at an intersection (15-min interval counts).
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Hello
My geometry which I want to apply mesh on it is an in-pipe turbine. There are two bodies: a turbine and a pipe. The blades are surrounded by a sphere that is subtracted from the pipe which indicates that different analysis should be applied on inside and outside of this sphere (figure 1). My meshing strategy implemented as follows: 1- An edge sizing which it’s type is element size (0.005 m) for the intersection of the blades and discs. 2- two edge sizing that their number of divisions is 20. One of them is applied for the blades’ edges and the other one is applied for the disc’s edges. 3- an inflation for the surface of the sphere. 4- A face meshing for the pipe. 5- a face sizing for the inner and outer pipe surfaces and inlet and outlet regions. 6- A face sizing for the sphere. 7- an inflation for the pipe’s walls (figure 6).
At last, the challenges are:
1- the inner volume of the sphere doesn’t mesh for small edge sizing (figure 4).
2- the maximum skewness is 1 (figure 7), the low-quality elements are placed at the location of the intersection of the discs and the blades (figure 5).
3- I can’t apply face meshing on discs.
I will be so thankful if you help me. Should I change my meshing strategy?
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Hi, I highly recommend using ICEM CFD for such complicated shapes. However, you can do it as well with Ansys mesh software, and here is my recommendation:
1- I believe you need to remove all these edge sizing and enable adaptive sizing, approximate, and curvature features to reduce your skewness value.
2- inflation is not necessary you may use edge sizing instead.
3- Simplicity is king, I guess try to simplify your plan for meshing as I mentioned at #1 and use automatic constraint meshing. What I mean by that is that you need to specify the points of interest and let the computer does the rest.
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I'm looking for suggestions on unexplored areas of the intersection between law and information technology, artificial intelligence and, data protection laws to research upon and academic writing.
Since I'm very new to the field, any help in this regard will be godsent.
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Within the area you are focusing upon, there may very well be unexplored terrain. But any such will have to be of interest for you in order to support a present or future research project that will be implemented to completion.
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Last year (August 2020) I uploaded the algebraic approach to the construction of a regular nonagon DOI 10.13140/RG.2.2.26286.95044/1 which in fact was the trisection of an angle of 60 degrees and so the tangent of the angle of 20 degrees was found to be 0.36387622008. Some years ago (2014) I published with IOSR Journal of Mathematics a paper for the trisection of every angle equal or less than 180 degrees the "Angle Trisection by Straighedge and Compass Only". A trisection, done by the intersection of two circumferences. Now, taking for trisection an angle of 60 degrees, for the intersection of the two circumferences we get the system of equations:
x^2 + (y + sqrt27)^2 = 36
(8 - x)^2 + y^2 =49
and the tangent of the angle of 20 degrees to be: y/(3-x) = 0.36345134567644, differing from the one calculated last year with the algebraic approach to the construction of the regular nonagon.
Where do you think that the difference of the two calculations of the same tangent is due?
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Angle trisection is the division of an arbitrary angle into three equal angles. It was one of the three geometric problems of antiquity for which solutions using only compass and straightedge were sought. The problem was algebraically proved impossible by Wantzel (1836).
Weisstein, Eric W. "Angle Trisection." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/AngleTrisection.html
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For example;
Genetic Algorithm in intersection optimization
Fuzzy logic in attendance control
Ant algorithms and Dynamic programming in shortest path problems
ANN in passenger demand forecasting and other forecasting problems
Soft computing technic in adaptive intersection design
In many optimization applications Swarm Optimization technics etc ..
I am waiting for your contributions on similar applications and techniques to be used.
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Thank you very much Dear Sevcan for your contribution. ANN is widdely used in recognition and classification and prediction .
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Dear Global Research Community,
Have you ever worked with the concept of Decolonial Intersectionality (Salem, 2014; Kurtiş & Adams, 2016; Mollett, 2017)? Do you happen to know other scholars who sought to explore the relationship between black feminist approaches like Intersectionality and decolonize and postcolonial perspectives? I do indeed believe that Decolonial Intersectionality could be developed into a fruitful concept that analyzes the interlocking forms of oppression as well as structural discrimination and intersectional disparities in the postcolonial era that are embedded in epistemic violence and heteronormative structures (for e.g. racialized, ableist, cis-normative and colonial assumptions) leading to various forms of social injustice and social exclusion of many marginalized groups.
I would be glad to hear your critical thoughts and to get some literature suggestions as I am currently working on this complex topic for my PhD research project.
Thank you so much in advance for your critical thoughts!
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An interesting chapter is “Postcolonial Intersectionality and the Colonial Present Radcliffe” in Sarah A. (2015), Dilemmas of Difference: Indigenous Women and the Limits of Postcolonial Development Policy, Duke University Press.
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I would like to have some support data to explain the importance of addressing accidents due to sudden lane changes or cut-in situations on highway. I wish to find some statistics on such accidents.
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In the United Kingdom, there is a science research institute financed by the insurance companies. This institute does a lot of research into car accidents. Take a look at that.
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I have been pondering about the relationship between these two important topics of our data-driven world for a while. I have bits and pieces, but I have been looking forward to find a neat and systematic set of connections that would somehow (surprisingly) bind them and fill the empty spots I have drawn in my mind for the last few years.
In the past, while I was dealing with multi-class classification problem (not so long ago), I have come to realize that multiple binary classifications is a viable option to address this problem through using error correction output coding (ECOC) - a well known coding technique used in the literature whose construction requirements are a bit different than classical block or convolutional codes. I would like to remind you that grouping multiple classes in two superclasses (a.k.a. class binarization) can be addressed in various ways. You can group them totally randomly which does not dependent on the problem at hand or based on a set of problem-dependent constraints that can be derived from the training data. One way I like the most stays at the intersection point of information theory and machine learning. To be more precise, class groupings can be done based on the resultant mutual information to be able to maximise the class separation. In fact, the main objective with this method is to maximise class separation so that your binary classifiers expose less noisy data and hopefully result in better performance. On the other hand, ECOC framework calls for coding theory and efficient encoder/decoder architectures that can be used to efficiently handle the classification problem. The nature of the problem is not something we usually come across in communication theory and classical coding applications though. Binarization of classes implies different noise and defect structures to be inserted into the so called "channel model" which is not common in classical communication scenarios. In other words, the solution itself changes the nature of the problem at hand. Also the way we choose the classifiers (such as margin-based, etc) will affect the characterization of the noise that impacts the detection (classification) performance. I do not know if possible, but what is the capacity of such a channel? What is the best code structure that addresses these requirements? Even more interestingly, can the recurrent issues of classification (such as overfitting) be solved with coding? Maybe we can maintain a trade-off between training and generalization errors with an appropriate coding strategy?
Similar trends can be observed in the estimation theory realm. Parameter estimations or in the same way "regression" (including model fitting, linear programming, density estimation etc) can be thought as the problems of finding "best parameters" or "best fit", which are ultimate targets to be reached. The errors due to the methods used, collected data, etc. are problem specific and usually dependent. For instance, density estimation is a hard problem in itself and kernel density estimation is one of its kind to estimate probability density functions. Various kernels and data transformation techniques (such as Box-Cox) are used to normalize data and propose new estimation methods to meet today's performance requirements. To measure how well we do, or how different distributions are we again resort to information theory tools (such as Kullback–Leibler (KL) divergence and Jensen-Shannon function) and use the concepts/techniques (including entropy etc.) therein from a machine learning perspective. Such an observation separates the typical problems posed in the communication theory arena from the machine learning arena requiring a distinct and careful treatment.
Last but not the least, I think that there is deep rooted relationship between deep learning methods (and many machine learning methods per se) and basic core concepts of information and coding theory. Since the hype for deep learning has appeared, I have observed that many studies applying deep learning methods (autoencoders etc) for decoding specific codes (polar, turbo, LDPC, etc) claiming efficiency, robustness, etc thanks to parallel implementation and model deficit nature of neural networks. However, I am wondering the other way around. I wonder if, say, back-propagation can be replaced with more reasonable and efficient techniques very well known in information theory world to date.Perhaps, distortion theory has something to say about the optimal number of layers we ought to use in deep neural networks. Belief propagation, turbo equalization, list decoding, and many other known algorithms and models may have quite well applicability to known machine learning problems and will perhaps promise better and efficient results in some cases. I know few folks have already began searching for neural-network based encoder and decoder designs for feedback channels. There are many open problems in my oppinion about the explicit design of encoders and use of the network without the feedback. Few recent works have considered various areas of applications such as molecular communications and coded computations as means to which deep learning background can be applied and henceforth secure performances which otherwise cannot be achieved using classical methods.
In the end, I just wanted to toss few short notes here to instigate further discussions and thoughts. This interface will attract more attention as we see the connections clearly and bring out new applications down the road...
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I've been having similar random thoughts over the two topics. As a matter of fact, I'd like to think about learning in the more genernal sense, not limited to machines. But when I put keywords like 'coding theory', 'learning' etc. in google, most results are just about applying some information theoretical techniques in machine learning, while I'm looking for a deeper connection help me understand learning better. And your post is seemingly the closest thing to what I want.
To briefly summarise my idea, I think we can treat learning as encoding, similar to the last point brought up in your post. I have to admit my ignorance but I haven't found any works studying learning using the framework of coding theory, rather than just borrowing some convenient tools. You may have dug into the literature more since your post, please direct me to the right works/authors if you have found relevant materials.
I don't have a background in information theory, but I guess I know some naive basics of it. Many artificial neural networks can perform a denoising or pattern completion task -- Isn't that impossible from a information theoretical point of view? Why an output can ever be the 'denoised' version of any noisier input? Of course this is a stupid question, but it led me to realise that learning/training is like encoding and testing/responding is like decoding. Then I had to accept that a learning system with all its training data forms this information pathway that has a long (even permanent) lifespan, which should be shorter than the changing rate of the regularities underlying the data. Specifically, learning is a process for the system to compress the aggregated noise in the training data (coding types other than compression would be more fun, but I'm not discussing it here), it considers this as information and incorporates it into its learnable parameters (these things live longer than individual datum), and as a successful outcome the system becomes capable of denoising a test sample, which is in some sense similar to decoding an encrypted message with the correct codebook. In other words, I can think of learning as a procedure of the system minimising its lifetime entropy by data fitting. This idea is evidently hinted by the common use of error minimisation in terms of mimising loglikelihoods in machine learning, but was clearly spelt out in Smolensky's Harmonium, which is slightly different from Hinton's restricted Boltzmann machine in the goal of optimisation (involving entropy). Unfortunately I'm not experienced enough to explain the technical details.
From my perspective, I consider this research direction extremely important and relevant when it comes to continual learning. In a more classical, static data fitting or machine learning scenario, in theory the learning system could be embracing all the training data at the same time. Minimising lifetime system entropy is equivalent to reduce system uncertainty with respect to the training data at the exact moment it encounters data. However, this is clearly a non-realistic assumption for humans and for many AI applications. A more realistic data stream is more dynamic, and at each moment the system could only observe partially the data. Evidently if an artificial neural network tries only to optimise itself with respect to this imperfect information, it suffers from catastrophic forgetting. So people start to tweak the learning rules or the regularisers, etc. in order to fix the problem. I do similar things, too, but I feel a lack of theoretical guidance, as I consider there should be some information theoretical quantification of the difficulty of continual learning tasks (there are some primary but arbitrary classification now), at least for artificial tasks.
In summary, I believe an updated version for coding theory is needed for studying continual learning, because in this scenario the channel capacity of a learning system has to be affected by more than its instantaneous parameter (including structure) configuration, but additionally an integral over time of these parameters.
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This is a model of a stiffened plate girder. The APDL code is provided below for its geometry generation. It is not getting meshed after gluing all the volumes. If the volume is subdivided in the intersection locations of the different volumes, then it can be meshed I think after gluing. But dividing them into small volumes in the intersection locations is a tedious process. How to do this in a simplified way?
/PREP7
ET,1,SOLID185
MPTEMP,,,,,,,,
MPTEMP,1,0
MPDATA,EX,1,,2e7
MPDATA,PRXY,1,,0.33
MPTEMP,,,,,,,,
MPTEMP,1,0
MPDATA,DENS,1,,7850
K,1,0,0,0,
K,2,318,0,0
K,3,318,14,0
K,4,0,14,0
K,5,154,14,0
K,6,164,14,0
K,7,164,914,0
K,8,154,914,0
K,9,0,914,0
K,10,318,914,0
K,11,318,928,0
K,12,0,928,0
LSTR, 1, 2
LSTR,2,3
LSTR,3,4
LSTR,4,1
LSTR,5,6
LSTR,6,7
LSTR,7,8
LSTR,8,5
LSTR,9,10
LSTR,10,11
LSTR,11,12
LSTR,12,9
A,1,2,3,4
A,5,6,7,8
A,9,10,11,12
VOFFST,1,-10000, ,
VOFFST,2,-10000, ,
VOFFST,3,-10000, ,
! stifners key point right side
*DO,T,0,10,1
K,,164,14,-1*(0+T*1000)
K,,264,14,-1*(0+T*1000)
K,,264,914,-1*(0+T*1000)
K,,164,914,-1*(0+T*1000)
*ENDDO
! stifners area formation
*DO,X,25,68,4
A,X,X+1,X+2,X+3
*ENDDO
*DO,H,19,28,1
VOFFST,H,-25,,
*ENDDO
VOFFST,29,25,,
!keypoint 112
!area 84
k,,164,614,-25
k,,264,614,-25
k,,264,614,-1000
k,,164,614,-1000
k,,164,314,-25
k,,264,314,-25
k,,264,314,-1000
k,,164,314,-1000
k,,164,464,-1025
k,,264,464,-1025
k,,264,464,-2000
k,,164,464,-2000
k,,164,314,-2025
k,,264,314,-2025
k,,264,314,-3000
k,,164,314,-3000
!from end
k,,164,314,-7025
k,,264,314,-7025
k,,264,314,-8000
k,,164,314,-8000
k,,164,464,-8025
k,,264,464,-8025
k,,264,464,-9000
k,,164,464,-9000
k,,164,614,-9025
k,,264,614,-9025
k,,264,614,-9975
k,,164,614,-9975
k,,164,314,-9025
k,,264,314,-9025
k,,264,314,-9975
k,,164,314,-9975
*DO,sl,113,144,4
A,sl,sl+1,sl+2,sl+3
*ENDDO
*DO,vg,85,92,1
VOFFST,vg,25,,
*ENDDO
!keypoint 176
!area 132
k,177,164,889,-3025
k,178,264,889,-3025
k,179,264,39,-4000
k,180,164,39,-4000
a,177,178,42,41
a,177,178,83,84
a,177,84,180,41
a,178,83,179,42
a,84,83,179,180
a,41,42,179,180
k,181,164,39,-4025
k,182,264,39,-4025
k,183,264,889,-5000
k,184,164,889,-5000
a,181,182,47,48
a,181,182,86,85
a,181,85,184,48
a,182,86,183,47
a,85,86,183,184
a,183,184,48,47
k,185,164,889,-5025
k,186,264,889,-5025
k,187,264,39,-6000
k,188,164,39,-6000
a,185,186,50,49
a,185,186,91,92
a,185,92,188,49
a,186,91,187,50
a,92,91,187,188
a,49,50,187,188
k,189,164,39,-6025
k,190,264,39,-6025
k,191,264,889,-7000
k,192,164,889,-7000
a,189,190,55,56
a,189,190,94,93
a,189,93,192,56
a,190,94,191,55
a,191,192,56,55
a,93,94,191,192
*DO,sa,133,156,6
FLST,2,6,5,ORDE,2
FITEM,2,sa
FITEM,2,-sa-5
VA,P51X
*ENDDO
VSYMM,x,4,26,1,0
VGEN,1,27,49,1,318,,,,,1
vglue,all
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As per the reports, the UK’s leading psychiatrist predicts impact will be felt for years after pandemic ends.
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Thanks a lot, Anupama.K Dayanand Ma'am for sharing your views and tips regarding our topic. We are facing this mental health pandemic for a decade and there is a need to address this serious issue as well.
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I am trying to find first eigenmatrix  P of an association scheme with 6 classes. I have all 7 intersection matrices and I calculated all of their eigenvalues. I know the eigenvalues of each intersection matrix is one of the  column of P. 
The first column of P contains the eigenvalues of the first intersection matrix.  The second column of P contains the eigenvalues of the second intersection matrix.  ...
My question is about the arrangement of eigenvalues in each column.
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How both climate change and systemic racism have their roots in colonization and the accompanying exploitation and extraction of both people and the environment.
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I asked a similar question a week ago. It emanated out of the yellow vest protests of western Canada. Many of these right wing protesters espoused positions that were pro-oil and pipelines, an anti-immigration with Islamophobic overtones. To somewhat digress, a recent anti-mask rally in Saskatchewan was organized by a known white supremacist. Research is needed to deconstruct these strange juxtapositions between anti-science beliefs and overt racism.
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Hello everyone, I'm struggling with a problem related to reinforcement learning. This is the scenario:
There is a four-way intersection in which some vehicles enter the intersection, and we aim to coordinate these vehicles according to their decisions to turn left, right, etc. Therefore, when we finish coordinating these vehicles, after a while, these vehicles will have left the intersection. Not to mention that we are dealing with a dynamic scenario in which vehicles enter the intersection randomly and we have to decide for them as fast as possible(decide for their priorities, velocities, etc.).
In order to diminish the costs of handling the problem in a centralized way, we assume that the vehicles themselves solve their coordinating problem in a decentralized way by acquiring the locational data of other vehicles.
I want to handle this problem with deep reinforcement learning. Actually, in my opinion, that would be nice to consider a multi-agent reinforcement learning method in which the agents act in a decentralized way and are trained centrally (CTDE). My assumption is that the agents in this scenario are the vehicles that are entering the intersection. Well, this is straightforward in the first place, but the problem is that I do not know how to model the problem. Because the system is multi-agent, I think I have to consider a separate DQN (DNN) for each vehicle, but these vehicles exist in the system for a short period of time, and after that I schedule them, they are gone. This is to say that I train the respective DQN of the vehicle when it is present at the intersection, and then I delete the DQN of that vehicle when it leaves. This is perplexing!
What do you think I can do about this problem?
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Yes, I'd like to have a decentralized system with centralized reward function for all of the existing vehicles.
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In Surface-enhanced Raman Scattering (SERS), the intersection between 2 metal nanoparticles can greatly enhance the Raman signal (make an Electromagnetic). Publisher call it is HOT-SPOT. I do not understand how HOT-SPOT can enhance the Raman signal. I really need a clear answer.
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The effect is sometimes called "nano lensing": the hot spot is like the focus of a nanometric lens (the particle or the ensemble of particles) that is concentrating electromagnetic energy in a very small region, similar to a lens concentrating sunlight on a paper sheet.
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I need some help with VISSIM. I have modeled an intersection where I would like to use no-changing lane rules near 100 ft of the traffic signal. Picture 1 shows intersection without applying lane change restriction, where vehicle 1 and vehicle 2 are changing lane near the traffic signal.
However, after applying no-lane change near the traffic signal, I found the picture 2 for EB direction. Actually, those two vehicles from picture 2 would like to turn left, but they are in no turning section. Therefore, they are not moving.
How may I apply no-lane changing near an intersection?
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Hi,
You shall make the connector sufficienctly long (say 100ft as per your requirement), and enable the NoLnChRAllVehTypes and NoLnChLAllVehTypes parameters in the link properties for the connector. Also, to prevent vehicles from having to make last minute decisions on changing the lane to follow a desired route, introduce the vehicle route decision point well upstream of the connector.
Hope this helps.
Best wishes,
Abdhul
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Historical novels or novels whose subject matter is about historical events like emigration or forced emigration. Tend to blend historical truth and fiction in their narrative, in this case the historic event serves as a background to, in some cases fictitious characters. This intersection I would like to know what is it i called or rather what might it be called?
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Nov 2, 2017 - Short stories, novels, myths, legends, and fairy tales are all considered fiction. While settings, plot points, and characters in fiction are sometimes ..
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I am preparing a Webinar on whole-child and formative education.
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Check out Dr. Dwight Hopkins works on black liberation theology, Dr. James Cone works on black liberation theology, Dr. Claud Anderson's Power Economics, and my thesis on African theology and its influence on revealed religions and Christianity for base inputs.
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Intelligent transportation systems provide many advantages as part of our daily lives. One of the most common applications of these current and increasingly widespread systems in our cities is intelligent junction control. The scope of the intelligent junction control concept which includes different approaches and algorithms, is quite wide. It is known that it needs realistic and objective technical knowledge to guide decision makers correctly. In this sense, what do you think the definition of intelligent intersection should include? Is a high-cost intersection control system with a lot of equipment always necessary? Or are the lower cost solutions that enable multi-plan control by only increasing the number of control programs? What should be the threshold or the transition point for the preference? Is it sufficient to make only cost-benefit analysis? To what extent should social benefits be taken into account for feasibility analysis? Sharing your views on this issue can be beneficial to many researchers and interested parties and can contribute to the spread of sustainable transportation (traffic management) systems.
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Are the intelligent systems really intelligent? I think that most important question is this. Are the benefits obtained from high-cost solutions considerable in every time? Sometimes, low-cost geometrical regulations, basic analytical approaches or the intelligent use of existing resources and systems may be effective for the solution of the problems. I think that traffic flow characteristics and properties at each intersection approaches must be anlayzed in details. It should be noted that this is the first rule for the most properly management of the signalized intersections.
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Hi,
Hope that you are doing well! I have a model of T-intersection where there are no signal or priority rules. The vehicles will conflict at the intersection. Now, my question is how may I count the number of collisions or conflicts in VISSIM? I have attached a screenshot of the scenario.
Please, give me some suggestions.
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Could you please elaborate how did you use SSAM to evaluate conflicts/collision?
and in what form was the output (i.e conflict types or number of collision etc.)
Waqas
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My topic is “Polymorphous Discrimination: Rohingya Women in the Goggles of Intersectionality“. I would be happy to have a number of scientific journals to publish in: any Credible journals are therefore welcome. Thanks a lot for your suggestion.
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You can use Scopus as well. Here is the link for sources:
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After threshold the value of Moran Geary and Getis index using Local statistics in Envi how we get the common part between Moran and Geary indices
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You can use Boolean operators in Band Math in ENVI to get intersection of all of these raster images.
Also, you can use condition tool in raster calculator in ArcGIS to perform required operation.
Note :- Required regions should be assigned same pixel value in all the datasets.
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Hello everyone,
I am currently rounding up my MEng programme. Based on my interests during my masters, I intend to focus my PhD at the intersection of PID control, information theory and artificial intelligence.
I have attached my CV and do not mind the country, preferably: Europe, Asia or the US in no order.
Please refer me, if you know any Doctor or Professor whose research area is related to this and/or is interested in supervising such.
Thank you all.
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Ok, I will get back to you on that sir. Can I have your email.
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I am wondering if there is any correlation or reasoning behind the intersection of inherent and reduced viscosity not being at 0 concentration.
I am trying to find the MW of chitosan and the intersection is behind the y axis.I am not sure how to proceed from here. I am doing undergraduate research.
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Dear Shauda Rhoden, this situation may be due to the high MW (entanglements) and/or presence of long branches. In both situations, highly diluted low concentration are recommanded. My Regards
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During the partitioning process, there was two methods.
1- if the reachability set and the intersection are the same, then the common factors will be at the top level
2- If the antecedent set and the intersection set are the same, the common factors are considered level I ( top level of ISM model)
Would you please explain which method is right and why?
because the results of levels are totally different.
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The existing method can be realized by short-distance traffic through the DSRC, or the signal light device can be connected to the roadside device RSU by wire. Even in the driverless field, the signal is recognized by the camera to identify whether it is red or green. I don't know what effect is the best and the most effective in that way?
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Hi.,
The number of vehicles waiting to be processed at the intersection is rising sharply with Internet of Vehicles and intelligent transportation information environment, the relative priority on the traffic signal phase is selected according to the relative priority, which can adjust the traffic signal cycle..
For more info:
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have a curve in a tripartite plot and have to do least square fitting of 7 straight line segments through the curve I have and the constraint is that the third line segment should have a slope of -45 degrees (anticlockwise ) and the fifth line segment should have slope of +45 degrees and the fourth line segment should be a horizontal line. From the piecewise fitted line segment curve I have to get the optimum values of intersection points and the optimum perpendicular distance of 3rd line segment from the -45 degree axis and optimum perpendicular distance of fifth line segment from +45 degree axis. I don't have an objective function to be minimized or optimized but have some 1000+ x and y values of the original curve and know the equation to find third and fourth parameter on the diagonal axes from the x and y values . Is it possible to find these optimum points and values using fminunc function in matlab or any other function?
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Anyone working with Abaqus additive manufacturing plugin. I need your guidance regarding error in AM simulation.
"Error in job Job-1: Toolpath-mesh intersection module: Toolpath-Mesh intersection module is not available."
How to resolve the problem?
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Anyone, could you share me the tutorial step by step on how to use the AM modeler based on abaqus. Moreover, I cannot find the *.env file in the zip file downloaded. I would appreciate your help If you can send they to jiangwugui@tsinghua.org.cn.